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Published July 8, 2022 | Version v1
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A Quantile Regression Forests approach for sedigraph-reconstruction and sediment yield calculation

Description

Data set accompanying the publication "Reconstructing five decades of sediment export from two glaciated high-alpine catchments in Tyrol, Austria, using nonparametric regression". The data set contains 1. the code of the quantile regression forest model applied in the above mentioned manuscript to reconstruct suspended sediment concentrations and yields for the past five decades at the two nested gauges Vernagt (VF) and Vent (V) in the Upper Ötztal, Austria, 2. the preprocessed input data (discharge, precipitation, air temperature and suspended sediment concentrations derived from turbidity measurements) for both gauges, and 3. the model results.

Technical info

1. The model code is a modified version of this code: https://github.com/TillF/ssc_prediction (Jan 18th 2022) Modifications: - extended preprocessing steps in different temporal resolutions - includes tuning of aggregation factors, which determine the time span of antecedent hydroclimatic (discharge, temperature, precipitation) conditions included in the calculations 2. The input data are preprocessed versions of the original data which have been provided by the Hydrographic Service of Tyrol, Austria, and the Bavarian Academy of Sciences and Humanity, Munich, Germany, or are already available online (see table A1 in the appendix of the above mentioned manuscript for details): - gaps have been filled as far as possible, which includes combining and converting data from different stations, and - the data have been aggregated or disaggregated to achieve consistent temporal resolutions. 3. The model results can be found in the folder *GAUGE_NAME*/reconstruction_model/5_model_application/MC_01 - in the temporal resolution of the model (i.e. daily or hourly) as one table per year (e.g. flood_periods_quantForest_*GAUGE_NAME*_hist1.txt) - aggregated to annual suspended sediment yields (flood_periods_quantForest_*GAUGE_NAME*.txt)

Files

Rec_Rofental.zip

Files (308.1 MB)

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Checksum: md5:fa10964213aacf06eec1eb62b334a7b7

PID: http://hdl.handle.net/11304/3c685f39-4574-4604-b070-cb3aadd195b7
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Additional details

Identifiers

b2rec
109960a9fb42427b9d0a85b998b9d18c

Funding

Deutsche Forschungsgemeinschaft
NatRiskChange GRK 2043/1 and GRK 2043/2

Temporal Coverage

Ranges:

Start date: 1966-12-31
End date: 2020-12-29

Locations

Rofental, Ötztal, Tyrol, Austria Point: